{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 读和写文件"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "open() 将会返回一个 file 对象，基本语法格式如下:\n",
    "\n",
    "```py\n",
    "open(filename, mode)\n",
    "```\n",
    "\n",
    "- filename：包含了你要访问的文件名称的字符串值。\n",
    "- mode：决定了打开文件的模式：只读，写入，追加等。所有可取值见如下的完全列表。这个参数是非强制的，默认文件访问模式为只读(r)。"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "不同模式打开文件的完全列表：\n",
    "\n",
    "|模式|\t描述|\n",
    "|:----|:----|\n",
    "|r|    以只读方式打开文件。文件的指针将会放在文件的开头。这是默认模式。|\n",
    "|rb|\t以二进制格式打开一个文件用于只读。文件指针将会放在文件的开头。|\n",
    "|r+|\t打开一个文件用于读写。文件指针将会放在文件的开头。|\n",
    "|rb+|\t以二进制格式打开一个文件用于读写。文件指针将会放在文件的开头。|\n",
    "|w|\t打开一个文件只用于写入。如果该文件已存在则打开文件，并从开头开始编辑，即原有内容会被删除。如果该文件不存在，创建新文件。|\n",
    "|wb|\t以二进制格式打开一个文件只用于写入。如果该文件已存在则打开文件，并从开头开始编辑，即原有内容会被删除。如果该文件不存在，创建新文件。|\n",
    "|w+|\t打开一个文件用于读写。如果该文件已存在则打开文件，并从开头开始编辑，即原有内容会被删除。如果该文件不存在，创建新文件。|\n",
    "|wb+|\t以二进制格式打开一个文件用于读写。如果该文件已存在则打开文件，并从开头开始编辑，即原有内容会被删除。如果该文件不存在，创建新文件。|\n",
    "|a|\t打开一个文件用于追加。如果该文件已存在，文件指针将会放在文件的结尾。也就是说，新的内容将会被写入到已有内容之后。如果该文件不存在，创建新文件进行写入。|\n",
    "|ab|\t以二进制格式打开一个文件用于追加。如果该文件已存在，文件指针将会放在文件的结尾。也就是说，新的内容将会被写入到已有内容之后。如果该文件不存在，创建新文件进行写入。|\n",
    "|a+|\t打开一个文件用于读写。如果该文件已存在，文件指针将会放在文件的结尾。文件打开时会是追加模式。如果该文件不存在，创建新文件用于读写。|\n",
    "|ab+|\t以二进制格式打开一个文件用于追加。如果该文件已存在，文件指针将会放在文件的结尾。如果该文件不存在，创建新文件用于读写。|\n",
    "\n",
    "![image.png](attachment:image.png)\n",
    "\n",
    "|模式|\tr|\tr+|\tw|\tw+|\ta|\ta+|\n",
    "|:---|:---|:---|:---|:---|:---|:---|\n",
    "|读|\t+|\t+|\t |\t+|\t |\t+|\n",
    "|写|\t |\t+|\t+|\t+|\t+|\t+|\n",
    "|创建|\t|\t|\t+|\t+|\t+|\t+|\n",
    "|覆盖|\t|\t|\t+|\t+|\t|\t|\n",
    "|指针在开始|\t+|\t+|\t+|\t+|\t|\t|\n",
    "|指针在结尾|\t|\t|\t|\t|\t+|\t+|"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 简单联系人信息管理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-21T04:08:32.461707Z",
     "start_time": "2020-08-21T04:07:23.851621Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=======================================\n",
      "Welcome bookmark:\n",
      "    press 1 to show list\n",
      "    press 2 to add pepole\n",
      "    press 3 to edit pepole\n",
      "    press 4 to delete pepole\n",
      "    press 5 to search pepole\n",
      "    press 6 to show menu\n",
      "    press 0 to quit\n",
      "=======================================\n",
      "\n",
      ">>1\n",
      "show all personList:\n",
      "not yet person,please add person\n",
      "=======================================\n",
      ">>2\n",
      "add person:\n",
      "input name>>anlzou\n",
      "input number>>01\n",
      "success add person\n",
      "=======================================\n",
      ">>1\n",
      "show all personList:\n",
      "anlzou 01\n",
      "=======================================\n",
      ">>4\n",
      "delete person:\n",
      "input name>>anlzou\n",
      "success delete person\n",
      "=======================================\n",
      ">>\n",
      "input error, please retry\n",
      ">>0\n"
     ]
    }
   ],
   "source": [
    "import pickle\n",
    "import os\n",
    "\n",
    "datafile = 'person.data'\n",
    "line = '======================================='\n",
    "message = '''\n",
    "=======================================\n",
    "Welcome bookmark:\n",
    "    press 1 to show list\n",
    "    press 2 to add pepole\n",
    "    press 3 to edit pepole\n",
    "    press 4 to delete pepole\n",
    "    press 5 to search pepole\n",
    "    press 6 to show menu\n",
    "    press 0 to quit\n",
    "=======================================\n",
    "'''\n",
    "print(message)\n",
    "\n",
    "class Person(object):\n",
    "    \"\"\"通讯录联系人\"\"\"\n",
    "    def __init__(self, name, number):\n",
    "        self.name = name\n",
    "        self.number = number\n",
    "\n",
    "# 获取数据\n",
    "def get_data(filename=datafile):\n",
    "    # 文件存在且不为空\n",
    "    if os.path.exists(filename) and os.path.getsize(filename):\n",
    "        with open(filename,'rb') as f:\n",
    "            return pickle.load(f)\n",
    "    return None\n",
    "        \n",
    "# 写入数据\n",
    "def set_data(name, number, filename=datafile):\n",
    "\n",
    "    personList = {} if get_data() == None else get_data()\n",
    "\n",
    "    with open(filename,'wb') as f:\n",
    "        personList[name] = Person(name,number)\n",
    "        pickle.dump(personList,f)\n",
    "\n",
    "# 保存字典格式的数据到文件\n",
    "def save_data(dictPerson, filename=datafile):\n",
    "    with open(filename,'wb') as f:\n",
    "        pickle.dump(dictPerson,f)\n",
    "\n",
    "# 显示所有联系人\n",
    "def show_all():\n",
    "    personList = get_data()\n",
    "    if personList:\n",
    "        for v in personList.values():\n",
    "            print(v.name,v.number)\n",
    "        print(line)\n",
    "    else:\n",
    "        print('not yet person,please add person')\n",
    "        print(line)\n",
    "\n",
    "# 添加联系人\n",
    "def add_person(name,number):\n",
    "    set_data(name,number)\n",
    "    print('success add person')\n",
    "    print(line)\n",
    "\n",
    "# 编辑联系人\n",
    "def edit_person(name,number):\n",
    "    personList = get_data()\n",
    "    if personList:\n",
    "        personList[name] = Person(name,number)\n",
    "        save_data(personList)\n",
    "        print('success edit person')\n",
    "        print(line)\n",
    "\n",
    "# 删除联系人\n",
    "def delete_person(name):\n",
    "    personList = get_data()\n",
    "    if personList:\n",
    "        if name in personList:\n",
    "            del personList[name]\n",
    "            save_data(personList)\n",
    "            print('success delete person')\n",
    "        else:\n",
    "            print(name,' is not exists in dict')\n",
    "        print(line)\n",
    "\n",
    "\n",
    "# 搜索联系人\n",
    "def search_person(name):\n",
    "    personList = get_data()\n",
    "    if personList:\n",
    "        if name in personList.keys():\n",
    "            print(personList.get(name).name, personList.get(name).number)\n",
    "        else:\n",
    "            print('No this person of ',name)\n",
    "        print(line)\n",
    "        \n",
    "\n",
    "while True:\n",
    "    num = input('>>')\n",
    "\n",
    "    if num == '1':\n",
    "        print('show all personList:')\n",
    "        show_all()\n",
    "    elif num == '2':\n",
    "        print('add person:')    \n",
    "        name = input('input name>>')\n",
    "        number = input('input number>>')\n",
    "        add_person(name,number)\n",
    "    elif num == '3':\n",
    "        print('edit person:')\n",
    "        name = input('input name>>')\n",
    "        number = input('input number>>')\n",
    "        edit_person(name,number)\n",
    "    elif num == '4':\n",
    "        print('delete person:')\n",
    "        name = input('input name>>')\n",
    "        delete_person(name)\n",
    "    elif num == '5':\n",
    "        print('search :')\n",
    "        name = input('input name>>')\n",
    "        search_person(name)\n",
    "    elif num == '6':\n",
    "        print(message)\n",
    "    elif num == '0':\n",
    "        break\n",
    "    else:\n",
    "        print('input error, please retry')"
   ]
  }
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